The round, backed by Uber, Baillie Gifford, NVIDIA and others, will support Nuro’s global robotaxi rollout and commercial partnerships.
Nuro has closed a $203 million Series E funding round at a $6 billion valuation, with backing from Uber, Baillie Gifford, NVIDIA, Icehouse Ventures, Kindred Ventures, and Pledge Ventures. The raise includes a $97 million tranche announced this month, following $106 million disclosed in April.
Earlier investors in the April tranche included T. Rowe Price, Fidelity, Tiger Global, Greylock Partners, and XN. Nuro has now raised more than $2.3 billion since its founding in 2016.
The new funding will help Nuro scale its AI-first autonomous driving system, the Nuro Driver™, and expand commercial partnerships. The company licenses the system to automakers and mobility providers as a path to deploying autonomous fleets, ride-hailing services, and personal vehicles.
“The closing of our Series E reinforces the strong conviction our investors and strategic partners have in Nuro’s technology, our scalable approach to commercialization, and our vision for the future of autonomy” said Dave Ferguson, co-founder and president of Nuro. “With this new capital, we’re well-positioned to continue our next phase of growth.”
The round also cements NVIDIA as both a strategic partner and investor. Nuro’s latest compute module runs on the NVIDIA DRIVE AGX Thor platform, and the company uses NVIDIA GPUs for large-scale data processing. In June, Nuro joined NVIDIA’s Halos AI Systems Inspection Lab to validate product safety.
In July, Nuro announced a partnership with Lucid and Uber to deploy more than 20,000 Lucid vehicles powered by Nuro Driver across multiple global markets, beginning with a major U.S. launch in 2026. Uber’s participation in the Series E is tied to development and commercialization milestones linked to that partnership.
Nuro has been testing self-driving systems for nearly a decade, with five years of city-scale deployments across multiple U.S. states. The company remains one of the few to operate autonomous vehicles without safety drivers at scale.